Please provide the following information when requesting support.
• Network Type Dino
• Training spec file(If have, please share here)
train:
num_gpus: 1
num_nodes: 1
validation_interval: 1
optim:
lr_backbone: 2e-05
lr: 2e-4
lr_steps: [11]
momentum: 0.9
num_epochs: 12
precision: fp16
checkpoint_interval: 1
activation_checkpoint: True
pretrained_model_path: /workspace/tao-experiments/dino/dino_fan_large_imagenet22k_36ep.pth
dataset:
train_data_sources:
- image_dir: /data/images/train/
json_file: /data/train/annotations.json
val_data_sources:
- image_dir: /data/images/valid/
json_file: /data/valid/annotations.json
test_data_sources:
image_dir: /data/images/test/
json_file: /data/test/annotations.json
num_classes: 6
batch_size: 8
workers: 2
augmentation:
fixed_padding: True
model:
backbone: fan_large
train_backbone: False
num_feature_levels: 4
dec_layers: 6
enc_layers: 6
num_queries: 900
num_select: 100
dropout_ratio: 0.0
dim_feedforward: 2048
I have used above training spec file configuration , eventhough i have added the test dataset i didn’t see the result of the model prediction on the test set in any of the tensorboard graphs or i didn’t see any stats as the model prediction was performed after training on the test dataset
Then what should be the use of that dataset
Please guide me